#!/usr/bin/env python
# coding=utf-8

# Copyright(C) 2021. Huawei Technologies Co.,Ltd. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import numpy as np

v1 = np.loadtxt("v1_result.txt", delimiter=',')
v2 = np.loadtxt("v2_result.txt", delimiter=',')

result = np.divide((v2-v1), v1)

norm_list = []

for i in range(result.shape[0]):
    norm_list.append(np.linalg.norm(result[i]))

array = np.asarray(norm_list)
array = np.delete(array, np.argmax(array))
array = np.delete(array, np.argmin(array))

print(f'相对误差为:{np.mean(array)*100}%')
